diff options
Diffstat (limited to 'examples/mamdani/octave/mamdani_tip_calculator.java')
| -rw-r--r-- | examples/mamdani/octave/mamdani_tip_calculator.java | 98 |
1 files changed, 55 insertions, 43 deletions
diff --git a/examples/mamdani/octave/mamdani_tip_calculator.java b/examples/mamdani/octave/mamdani_tip_calculator.java index bea319b..faea466 100644 --- a/examples/mamdani/octave/mamdani_tip_calculator.java +++ b/examples/mamdani/octave/mamdani_tip_calculator.java @@ -1,4 +1,5 @@ import com.fuzzylite.*; +import com.fuzzylite.activation.* import com.fuzzylite.defuzzifier.*; import com.fuzzylite.factory.*; import com.fuzzylite.hedge.*; @@ -12,59 +13,70 @@ import com.fuzzylite.variable.*; public class mamdani_tip_calculator{ public static void main(String[] args){ +//Code automatically generated with fuzzylite 6.0. + Engine engine = new Engine(); -engine.setName("Mamdani-Tip-Calculator"); +engine.setName("mamdani_tip_calculator"); +engine.setDescription(""); -InputVariable inputVariable1 = new InputVariable(); -inputVariable1.setEnabled(true); -inputVariable1.setName("FoodQuality"); -inputVariable1.setRange(1.000, 10.000); -inputVariable1.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); -inputVariable1.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); -engine.addInputVariable(inputVariable1); +InputVariable FoodQuality = new InputVariable(); +FoodQuality.setName("FoodQuality"); +FoodQuality.setDescription(""); +FoodQuality.setEnabled(true); +FoodQuality.setRange(1.000, 10.000); +FoodQuality.setLockValueInRange(false); +FoodQuality.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +FoodQuality.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine.addInputVariable(FoodQuality); -InputVariable inputVariable2 = new InputVariable(); -inputVariable2.setEnabled(true); -inputVariable2.setName("Service"); -inputVariable2.setRange(1.000, 10.000); -inputVariable2.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); -inputVariable2.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); -engine.addInputVariable(inputVariable2); +InputVariable Service = new InputVariable(); +Service.setName("Service"); +Service.setDescription(""); +Service.setEnabled(true); +Service.setRange(1.000, 10.000); +Service.setLockValueInRange(false); +Service.addTerm(new Trapezoid("Bad", 0.000, 1.000, 3.000, 7.000)); +Service.addTerm(new Trapezoid("Good", 3.000, 7.000, 10.000, 11.000)); +engine.addInputVariable(Service); -OutputVariable outputVariable1 = new OutputVariable(); -outputVariable1.setEnabled(true); -outputVariable1.setName("Tip"); -outputVariable1.setRange(0.000, 30.000); -outputVariable1.fuzzyOutput().setAccumulation(new AlgebraicSum()); -outputVariable1.setDefuzzifier(new Centroid(200)); -outputVariable1.setDefaultValue(Double.NaN); -outputVariable1.setLockPreviousOutputValue(false); -outputVariable1.setLockOutputValueInRange(false); -outputVariable1.addTerm(new Gaussian("AboutTenPercent", 10.000, 2.000)); -outputVariable1.addTerm(new Gaussian("AboutFifteenPercent", 15.000, 2.000)); -outputVariable1.addTerm(new Gaussian("AboutTwentyPercent", 20.000, 2.000)); -engine.addOutputVariable(outputVariable1); +OutputVariable Tip = new OutputVariable(); +Tip.setName("Tip"); +Tip.setDescription(""); +Tip.setEnabled(true); +Tip.setRange(0.000, 30.000); +Tip.setLockValueInRange(false); +Tip.setAggregation(new AlgebraicSum()); +Tip.setDefuzzifier(new Centroid(200)); +Tip.setDefaultValue(Double.NaN); +Tip.setLockPreviousValue(false); +Tip.addTerm(new Gaussian("AboutTenPercent", 10.000, 2.000)); +Tip.addTerm(new Gaussian("AboutFifteenPercent", 15.000, 2.000)); +Tip.addTerm(new Gaussian("AboutTwentyPercent", 20.000, 2.000)); +engine.addOutputVariable(Tip); -OutputVariable outputVariable2 = new OutputVariable(); -outputVariable2.setEnabled(true); -outputVariable2.setName("CheckPlusTip"); -outputVariable2.setRange(1.000, 1.300); -outputVariable2.fuzzyOutput().setAccumulation(new AlgebraicSum()); -outputVariable2.setDefuzzifier(new Centroid(200)); -outputVariable2.setDefaultValue(Double.NaN); -outputVariable2.setLockPreviousOutputValue(false); -outputVariable2.setLockOutputValueInRange(false); -outputVariable2.addTerm(new Gaussian("PlusAboutTenPercent", 1.100, 0.020)); -outputVariable2.addTerm(new Gaussian("PlusAboutFifteenPercent", 1.150, 0.020)); -outputVariable2.addTerm(new Gaussian("PlusAboutTwentyPercent", 1.200, 0.020)); -engine.addOutputVariable(outputVariable2); +OutputVariable CheckPlusTip = new OutputVariable(); +CheckPlusTip.setName("CheckPlusTip"); +CheckPlusTip.setDescription(""); +CheckPlusTip.setEnabled(true); +CheckPlusTip.setRange(1.000, 1.300); +CheckPlusTip.setLockValueInRange(false); +CheckPlusTip.setAggregation(new AlgebraicSum()); +CheckPlusTip.setDefuzzifier(new Centroid(200)); +CheckPlusTip.setDefaultValue(Double.NaN); +CheckPlusTip.setLockPreviousValue(false); +CheckPlusTip.addTerm(new Gaussian("PlusAboutTenPercent", 1.100, 0.020)); +CheckPlusTip.addTerm(new Gaussian("PlusAboutFifteenPercent", 1.150, 0.020)); +CheckPlusTip.addTerm(new Gaussian("PlusAboutTwentyPercent", 1.200, 0.020)); +engine.addOutputVariable(CheckPlusTip); RuleBlock ruleBlock = new RuleBlock(); -ruleBlock.setEnabled(true); ruleBlock.setName(""); +ruleBlock.setDescription(""); +ruleBlock.setEnabled(true); ruleBlock.setConjunction(new AlgebraicProduct()); ruleBlock.setDisjunction(new Maximum()); -ruleBlock.setActivation(new Minimum()); +ruleBlock.setImplication(new Minimum()); +ruleBlock.setActivation(new General()); ruleBlock.addRule(Rule.parse("if FoodQuality is Bad and Service is Bad then Tip is AboutTenPercent and CheckPlusTip is PlusAboutTenPercent", engine)); ruleBlock.addRule(Rule.parse("if FoodQuality is Bad and Service is Good then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine)); ruleBlock.addRule(Rule.parse("if FoodQuality is Good and Service is Bad then Tip is AboutFifteenPercent and CheckPlusTip is PlusAboutFifteenPercent", engine)); |